Mixed Integer Programming Formulation Techniques and Applications to Unit Commitment Problem

被引：0
|
作者：
Viswanath, Aparna [1 ]
Goel, Lalit [2 ]
Peng, Wang [2 ]
机构：
[1] Univ Newcastle, Sch Elect Engn & Comp Sci, Callaghan, NSW 2308, Australia
[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore
来源：
2012 CONFERENCE ON POWER & ENERGY - IPEC | 2012年
关键词：
Mixed integer linear programming; non-linear functions; probabilistic constraints; binary variables; unit commitment;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Unit Commitment (UC) problem with non-linear functions and probabilistic constraints are difficult to solve by standard optimization methods. This paper provides an introduction to mixed integer programming problem formulation techniques and its applications to UC problem. Use of binary variables to convert nonlinear functions and probabilistic constraints to a Mixed Integer linear programming (MILP) form are presented. This conversion helps in solving the UC problem by using commercially available MILP solvers.
引用
收藏
页码：25 / 30
页数：6
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